RecruitingNANCT06910956

Deep Learning Using Routine Chest X-Rays and Electronic Medical Record Data to Identify High Risk Patients for Lung Cancer Screening CT

Sponsor: Massachusetts General Hospital

Trial Details

Condition	Lung Cancer, Health Screening, Early Cancer Detection, Deep Learning
Intervention	CXR-LC
Phase	NA
Status	Recruiting
Participants	1,500
Est. Completion	1 July 2027
Last Updated	11 May 2026

Primary Outcome

Proportion completing Lung Cancer screening CT in 6 months after visit

Eligibility Criteria

Inclusion Criteria

Major Inclusion Criteria: * Scheduled outpatient appointment with participating provider. * 50- to 77-year-old who currently or formerly smoked, to include persons potentially eligible for lung screening based on Medicare guidelines. * Recent (within 2 years) PA chest radiograph. Exclusion Criteria: • History or signs/symptoms of lung cancer. Recent (within 2 years) chest CT. Clinical indication for chest CT beyond lung cancer screening.

Trial Sites

Countries

United States

View Registry Entry

Related Analysis

AI-Enhanced Lung Cancer Screening Trial: Deep Learning Tool Aims to Boost CT Uptake in High-Risk Patients

New clinical trial evaluates AI tool that analyses chest X-rays to identify high-risk lung cancer patients and improve screening CT participation rates. The CXR-LC system could transform early detection strategies by identifying at-risk individuals missed by current guidelines.

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